This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi s robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi s robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.

Contents:Introduction of Quality Engineering; Analysis of Quality Information and Quality Improvement Effort; Fundamentals of Designing Experiments; Orthogonal Array Experiments; Parameter Design for Continuous Data; Parameter Design for Discrete Data; Alternative Parameter Design and Other Considerations; Parameter Design for Dynamic Characteristics; Tolerance Design; Robust Response Surface Design and Analysis; Six Sigma for Management Innovation; Further Issues for the Implementation of Six Sigma; Design for Six Sigma; Robust Design and Implementation of Six Sigma.